Cross Lingual Natural Language Inference On 1
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| bert-pre-training-of-deep-bidirectional | 74.3% |
| supervised-learning-of-universal-sentence | 60.7% |
| supervised-learning-of-universal-sentence | 68.7% |
| better-fine-tuning-by-reducing | 85.2% |